R/data_metalExposChildren.R

In simBKMRdata: Helper Functions for Bayesian Kernel Machine Regression

#' Children's Environmental Heavy Metal Exposure Data
#'
#' @description
#' This dataset originates from a real-world cohort study led by Dr. Lucchini
#' and collaborators, focusing on environmental exposures in children. It
#' includes measurements of five metal concentrations—Cadmium, Mercury, Arsenic,
#' Lead, and Manganese—alongside standardized intelligence quotient (IQ) scores,
#' and some other socio-economic and demographic variables.
#'
#' @format ## `who`
#' A data frame with 437 rows and 13 columns:
#' \describe{
#'   \item{ID}{Subject's ID}
#'   \item{age}{Subject's age in years}
#'   \item{QI}{Intelligence quotient}
#'   \item{Cadmium}{Cd urine concentration	ng/ml}
#'   \item{Mercury}{Hg urine concentration	ng/ml}
#'   \item{Arsenic}{As urine concentration	ng/ml}
#'   \item{Lead}{Pb blood concentration	ng/ml}
#'   \item{Manganese}{Mn hair concentration	ng/g}
#'   \item{Sex}{Student's gender; 1 = Male, 2 = Female}
#'   \item{BMI}{Body Mass Index (kg/m2)}
#'   \item{SES}{Social Economic Status; 1 = LOW, 2 = MEDIUM, 3 = HIGH}
#'   \item{Distance_metres}{Distance to nearest industrial site (m)}
#'   \item{SPM}{Raven's Standard Progressive Matrices}
#' }
#'
#' @source Prof. Roberto Lucchini; see inst/scripts/data_metalExposChildren*.R
#' for more details. Licensed under CC BY 4.0.
"metalExposChildren_df"